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Recently posted jobs
Artificial Intelligence • Machine Learning • Software
Leads technical strategy, solution architecture, delivery, and product development for Altana’s UK policy and national security vertical. Owns capture and pre-sales technical content, customer deployments, security and accreditation obligations, support processes, staffing, and technical team development. Partners with commercial leadership, Platform Operations, Engineering, Product, and Design to deliver SaaS and PaaS solutions in secured and regulated environments.
Artificial Intelligence • Machine Learning • Software
The Account Executive will drive enterprise software sales to logistics service providers, including prospecting, relationship building, sales-cycle management, forecasting, and pipeline development. Responsibilities include managing logistics accounts, selling across IT, procurement, transportation, and supply chain functions, gathering customer feedback, and partnering with product, marketing, and account management teams. The role requires travel, strong presentation skills, logistics industry knowledge, and a proven $1M+ annual quota track record.
Artificial Intelligence • Machine Learning • Software
Manage public sector customer deployments, technical workstreams, relationships, adoption, and value realization. Serve as a technical account manager by supporting users, conducting business reviews, synthesizing feedback, coordinating feature delivery with Product and Engineering, and identifying account expansion opportunities. The role requires translating complex technology concepts for varied stakeholders and becoming an expert in government use cases involving supply chain risk, trade enforcement, and trade facilitation.
Artificial Intelligence • Machine Learning • Software
Design, build, deploy, and optimize distributed big-data ingestion, standardization, and ML pipelines at scale. Support platform reliability, cost controls, security accreditations, and customer integrations. Serve as technical lead in client meetings, mentor engineers, and recommend tools and best practices for data pipeline development and deployment.
